OEE Evaluation of a Paced Assembly Line through Different Calculation and Simulation Methods: A Case Study in the Pharmaceutical Environment
Author(s) -
Filippo De Carlo,
Maria Antonietta Arleo,
Mario Tucci
Publication year - 2014
Publication title -
international journal of engineering business management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.352
H-Index - 22
ISSN - 1847-9790
DOI - 10.5772/59158
Subject(s) - productivity , overall equipment effectiveness , production (economics) , production line , computer science , industrial engineering , competition (biology) , operations research , risk analysis (engineering) , engineering , business , economics , microeconomics , mechanical engineering , ecology , biology , macroeconomics
Modern production systems must guarantee high performance. Increasingly challenging international competition, budget reductions for the health sector and constant technological evolution are just three of the many aspects that drive pharmaceutical companies to continuously improve the productivity of their lines. The scientific literature has for many years been proposing calculation models for estimating theproductivity of a machine. One of the most famous, and still used, is overall equipment effectiveness (OEE). This allows the calculation the valuable output considering the six ‘big losses’. The limitations of this approach are noticeable when considering a production line instead of a single machine. Numerous researchers have proposed alternative methods or changes in OEE, to be able to cover the widest spectrum of possible cases. In this study, we wanted to evaluate how such theoretical models related to OEE are actually able to represent the world of tight production flows or whether, in these cases, a more complex type of simulation should be preferred. To do this, we carried out a case study of a production line in the pharmaceutical industry, and the resultsshowed that the simulation approach gives better results because of the peculiarities not considered by the theoretical models
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